Data Engineer

Summary

Join Xebia, a global leader in digital solutions, as a Data Engineer. Work closely with engineering, product, and data teams to deliver scalable and robust data solutions for clients. Design, build, and maintain data platforms and pipelines. Mentor new engineers. Leverage GCP Cloud Native Services for data processing. Ensure data integrity and availability. Collaborate with cross-functional teams to understand data requirements. Develop documentation and standards for data processes. This role requires 4+ years of experience in data engineering and proficiency with GCP services.

Requirements

• 4+ years in a data engineering role, with hands-on experience in building data processing pipelines
• Proficiency with GCP services, for large-scale data processing and optimization
• Experience with Apache Airflow, including DAG creation, triggers, and workflow optimization
• Python proficiency, with expertise in modern data libraries
• Hands-on experience with ETL tools and processes
• Deep understanding of relational and NoSQL databases, data modelling, and data warehousing concepts
• Excellent command of oral and written English
• Work from EU and a work permit to work from EU are required
• Openness to work in the evening (6-9 pm CET) is required

Responsibilities

• Designing and implementing the Data Processing Framework leveraging GCP Cloud Native Services
• Ensuring data integrity, consistency, and availability across all data systems
• Working closely with cross-functional teams including Engineering, Business Analytics, Data Science and Product Management to understand data requirements and deliver solutions
• Collaborating with data engineers to ensure data engineering best practices are integrated into the development process
• Developing documentation and standards for data processes and procedures

Preferred Qualifications

• Knowledge of data visualization tools (e.g., Tableau, Looker)
• Understanding of machine learning and data analytics
• Certification in cloud platforms (AWS Certified Data Analytics, Google Professional Data Engineer, etc.)